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Artykuły w czasopismach na temat "Data Product"
Do, Namchul. "Education and Training of Product Data Analytics using Product Data Management System". Korean Journal of Computational Design and Engineering 22, nr 1 (1.03.2017): 80–88. http://dx.doi.org/10.7315/cde.2017.080.
Pełny tekst źródłaLeong, K. K., K. M. Yu i W. B. Lee. "Product data allocation for distributed product data management system". Computers in Industry 47, nr 3 (marzec 2002): 289–98. http://dx.doi.org/10.1016/s0166-3615(01)00152-x.
Pełny tekst źródłaDo, Namchul. "Integration of Social Media with Product Data Management for Collaborative Product Design". Journal of Korean Institute of Industrial Engineers 42, nr 1 (15.02.2016): 50–56. http://dx.doi.org/10.7232/jkiie.2016.42.1.050.
Pełny tekst źródłaKrisnanto, Umbas, J. Juharsah, Purnama Putra, Andini Dani Achmad i Elkana Timotius. "Utilizing Apriori Data Mining Techniques on Sales Transactions". Webology 19, nr 1 (28.01.2022): 5581–90. http://dx.doi.org/10.14704/web/v19i1/web19376.
Pełny tekst źródłaShaw, N. K., M. Susan Bloor i A. de Pennington. "Product data models". Research in Engineering Design 1, nr 1 (marzec 1989): 43–50. http://dx.doi.org/10.1007/bf01580002.
Pełny tekst źródłaVergeest, JSM. "Product Data Exchange". Computer-Aided Design 28, nr 8 (sierpień 1996): 665. http://dx.doi.org/10.1016/0010-4485(96)86818-7.
Pełny tekst źródłaMOCHIZUKI, Tatsuya. "Product Data Management". Journal of the Japan Society for Precision Engineering 72, nr 2 (2006): 161–64. http://dx.doi.org/10.2493/jjspe.72.161.
Pełny tekst źródłaWerder, Karl, Stefan Seidel, Jan Recker, Nicholas Berente, John Gibbs, Nouredine Abboud i Yossef Benzeghadi. "Data-Driven, Data-Informed, Data-Augmented: How Ubisoft’s Ghost Recon Wildlands Live Unit Uses Data for Continuous Product Innovation". California Management Review 62, nr 3 (27.04.2020): 86–102. http://dx.doi.org/10.1177/0008125620915290.
Pełny tekst źródłaSilvola, Risto, Arto Tolonen, Janne Harkonen, Harri Haapasalo i Tarja Mannisto. "Defining one product data for a product". International Journal of Business Information Systems 30, nr 4 (2019): 489. http://dx.doi.org/10.1504/ijbis.2019.099308.
Pełny tekst źródłaMannisto, Tarja, Arto Tolonen, Harri Haapasalo, Janne Harkonen i Risto Silvola. "Defining one product data for a product". International Journal of Business Information Systems 30, nr 4 (2019): 489. http://dx.doi.org/10.1504/ijbis.2019.10020637.
Pełny tekst źródłaRozprawy doktorskie na temat "Data Product"
Morshedzadeh, Iman. "Data Classification in Product Data Management". Thesis, Högskolan i Skövde, Institutionen för teknik och samhälle, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-14651.
Pełny tekst źródłaČvančarová, Lenka. "MDM of Product Data". Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-150246.
Pełny tekst źródłaParviainen, A. (Antti). "Product portfolio management requirements for product data management". Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201409021800.
Pełny tekst źródłaFlankegård, Filip. "The use of data within Product Development of manufactured products". Thesis, Mälardalens högskola, Innovation och produktrealisering, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-35084.
Pełny tekst źródłaAntonov, Anton. "Product Information Management". Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-150108.
Pełny tekst źródłaHannila, H. (Hannu). "Towards data-driven decision-making in product portfolio management:from company-level to product-level analysis". Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526224428.
Pełny tekst źródłaTiivistelmä Tuotteet ja palvelut ovat yrityksille kriittisiä, sillä ne luovat perustan yritysten taloudelliselle menestykselle. Kaksikymmentä prosenttia yrityksen tuotteista edustaa tyypillisesti noin kahdeksaakymmentä prosenttia myyntimääristä. Siitä huolimatta tuoteporfoliopäätöksiin — kuinka strategisesti uudistetaan yrityksen tuotetarjoomaa — liittyy tunteita, lemmikkituotteita ja kuka-huutaa-kovimmin -mentaliteettia faktojen, numeroiden ja kvantitatiivisten analyysien puuttuessa. Kannattavuutta mitataan ja raportoidaan tällä hetkellä yritystasolla, ja yritykset eivät näyttäisi pystyvän mittaamaan tuotetason kannattavuutta johdonmukaisesti. Tämä estää yrityksiä ylläpitämästä ja uudistamasta tuotevalikoimaansa strategisesti tai kaupallisesti tasapainoisella tavalla. Tämän tutkimuksen päätavoite on tarjota dataohjattu (data-driven) tuoteportfoliohallinnan konsepti, joka tunnistaa ja visualisoi reaaliajassa ja faktapohjaisesti, mitkä yrityksen tuotteet ovat samanaikaisesti strategisia ja kannattavia ja mikä on niiden osuus tuoteportfoliossa. Tämä väitöskirja on laadullinen tutkimus, jossa yhdistyy kirjallisuuskatsaus, yrityshaastattelut, havainnot ja yritysten sisäinen dokumentaatio, joiden pohjalta pyritään kohti dataohjautuvaa päätöksentekoa tuoteportfolion hallinnassa. Tämä tutkimus osoittaa, että yrityksen data assettit on yhdistettävä ja hallittava yrityksenlaajuisesti, jotta yrityksen strategisten assettien — DATAN — potentiaali voidaan hyödyntää kokonaisuudessaan. Data on hallittava erillään yrityksen IT-teknologiasta ja sen yläpuolella. Ennen dataa ja teknologiaa on omaksuttava dataohjattu yrityskulttuuri. Dataohjatun tuoteportfolionhallinnan konsepti yhdistää keskeiset liiketoimintaprosessit, liiketoiminnan IT-järjestelmät ja useita konsepteja, kuten tuotteistaminen, tuotteen elinkaaren hallinta ja tuoteportfolion hallinta. Yhteisymmärrys yrityksen tuotteista ja sekä kaupallisen että teknisen tuoterakenteet luominen vastaavasti on ennakkoedellytys dataohjatulle tuoteportfolion hallinnalle, koska ne muodostavat yrityksen liiketoiminnan selkärangan, joka yhdistää kaikki tuotteisiin liittyvät liiketoimintakriittiset tiedot tuotetason kannattavuuden analysoimiseksi. Lisäksi tarvitaan tuotteiden kategorisointi strategisiin, tukeviin ja ei-strategisiin tuotteisiin, koska tuotteen strateginen luonne voi muuttua tuotteen elinkaaren aikana, johtuen esimerkiksi teknologian vanhenemisesta, kilpailijoiden häiritsevistä innovaatioista tai mistä tahansa muusta syystä
Hooi, Leng Lee. "Application of product data management within the product development process". Thesis, University of Huddersfield, 2002. http://eprints.hud.ac.uk/id/eprint/14688/.
Pełny tekst źródłaSun, Tao. "Product Context Analysis with Twitter Data". Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13526.
Pełny tekst źródłaRomaniuk, Helena. "Analysis of product usage panel data". Thesis, University of Southampton, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326798.
Pełny tekst źródłaHines, Erisa K. (Erisa Kimberly). "Lifecycle perspectives on product data management". Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34141.
Pełny tekst źródłaIncludes bibliographical references (p. 106-109).
Implementing a new IT system often requires the enterprise to transform in order to maximally leverage the capabilities generated by the new system. The challenge in using IT as an enabler to change arises from the need to synergistically redesign processes, develop and implement a solution using internal talent and external suppliers, and establish adoption by users. Product Data Management (PDM) technology represents a substantial portion of large industry IT investment over the last decade. The ability to manage and deliver product data throughout the lifecycle has become increasingly important to the aerospace enterprise as products become more complex, cost and development cycles shorten, and customer, partner, and supplier relationships evolve. Currently, the aerospace community does not have capability to provide traceability from requirements and design through field maintenance. While initially an attempt to understand the application of PDM in product development, what emerged was a study in how PDM affects and enables lean enterprise transformation. The selection, development, and deployment of PDM solutions were studied in the aerospace industry in order to enable better implementation decisions in varying complex environments. Organizational, technical, and cultural factors were considered as they contribute to a PDM's effectiveness. .
(cont.) A current-state observation of nine aerospace company sites highlights the difficulty in reaching the technology's full potential to deliver customer value. Data show that PDMs are being used primarily to manage design engineering data and are not tightly integrated with other business systems. The data also show a distinct difference between prime and supplier companies' spending on and capability of their respective data management systems. While the value of PDM to product development includes better data quality, traceability and transparency, value to the enterprise is also found beyond the traditional role of PDM. Looking horizontally across the lifecycle and vertically through the hierarchical relationships, PDM provides opportunities for organizational and process change and stakeholder involvement, both important tenets for evolving into a lean enterprise. This conclusion is supported by both the site interviews and the two case studies
by Erisa K. Hines.
S.M.
Książki na temat "Data Product"
CIMdata. Product-data management. London: Department of Trade and Industry, 1994.
Znajdź pełny tekst źródłaBloor, M. Susan. Product data exchange. London: UCL Press, 1995.
Znajdź pełny tekst źródłaCorporation, Dallas Semiconductor. Product data book. Dallas, Tex: Dallas Semiconductor Corporation., 1987.
Znajdź pełny tekst źródła(Firm), Harris Semiconductor. Digital product data book. Florida: Harris Semiconductor, 1988.
Znajdź pełny tekst źródłaLimited, IQD. Crystal product data book. Crewkerne: IQD Limited, 1994.
Znajdź pełny tekst źródłaLimited, IQD. Crystal product data book. Crewkerne: IQD Limited, 1995.
Znajdź pełny tekst źródłaCorporation, Harris. Analog product data book. [Boston, Mass.]: Harris, 1986.
Znajdź pełny tekst źródłaCorporation, ILC Data Device. Data converters product catalog. Bohemia, N.Y: ILC DDC, 1989.
Znajdź pełny tekst źródła(Firm), Shell UK Oil. Product safety data sheet. London: Shell UK oil, 1985.
Znajdź pełny tekst źródłaOhio-Kentucky-Indiana Regional Council of Governments i Ohio-Kentucky-Indiana Regional Council of Governments. Decision Resources Center, red. Regional data product catalog. Cincinnati, Ohio: Ohio-Kentucky-Indiana Regional Council of Governments, 1988.
Znajdź pełny tekst źródłaCzęści książek na temat "Data Product"
Stark, John. "Product Data". W Decision Engineering, 115–45. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-546-0_7.
Pełny tekst źródłaStark, John. "Product Data". W Product Lifecycle Management (Volume 2), 145–80. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24436-5_8.
Pełny tekst źródłaYin, Yong, Ikou Kaku, Jiafu Tang i JianMing Zhu. "Product Architecture and Product Development Process for Global Performance". W Data Mining, 133–55. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-338-1_8.
Pełny tekst źródłaMechlinski, Thomas, i Andreas Schreiber. "Product Data Management". W IFIP Advances in Information and Communication Technology, 233–40. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35577-1_15.
Pełny tekst źródłaSheth, Sharad. "Product Data Management". W CAD/CAM Robotics and Factories of the Future, 446–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52320-5_75.
Pełny tekst źródłaKerkhove, Louis-Philippe. "Managing Product Returns". W Data-driven Retailing, 161–75. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12962-9_6.
Pełny tekst źródłaBall, Robert, i Brian Rague. "Final Product". W The Beginner's Guide to Data Science, 241–48. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07865-1_11.
Pełny tekst źródłaAnderl, Reiner, i Martin Momberg. "Authentication of product data and product components". W Information Infrastructure Systems for Manufacturing II, 275–86. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35385-2_19.
Pełny tekst źródłaPaffrath, Rainer. "Mining Product Configurator Data". W Modern Concepts of the Theory of the Firm, 110–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-08799-2_7.
Pełny tekst źródłaÅsebø, Olav. "Product Data Management Systems". W Enterprise Modeling, 201–16. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4475-3_13.
Pełny tekst źródłaStreszczenia konferencji na temat "Data Product"
"GATHERING PRODUCT DATA FROM SMART PRODUCTS". W 10th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001700302520257.
Pełny tekst źródłaAttokurov, Ulukbek, Okan Kaya i Mehmet Selman Sezgin. "Product Recommendation Based on Embeddings: People Who Viewed This Product Also Viewed These Products". W 2022 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2022. http://dx.doi.org/10.1109/bigcomp54360.2022.00063.
Pełny tekst źródłaVrampas, George, Corey Kado, Xiaoou Yang, Elisabeth Kames i Beshoy Morkos. "Collecting Product Design Data: Examining the Applicability of Utilizing Gaze Data to Obtain Customer Feedback on Product Designs". W ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-117130.
Pełny tekst źródłaMitik, Merve, Ozan Korkmaz, Pinar Karagoz, Ismail Hakki Toroslu i Ferhat Yucel. "Data Mining Based Product Marketing Technique for Banking Products". W 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW). IEEE, 2016. http://dx.doi.org/10.1109/icdmw.2016.0085.
Pełny tekst źródłaEntezari, Negin, Evangelos E. Papalexakis, Haixun Wang, Sharath Rao i Shishir Kumar Prasad. "Tensor-based Complementary Product Recommendation". W 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9671938.
Pełny tekst źródłaMicol, Alberto, Magda Arnaboldi, Nausicaa A. R. Delmotte, Laura Mascetti i Joerg Retzlaff. "ESO science data product standard for 1D spectral products". W SPIE Astronomical Telescopes + Instrumentation, redaktorzy Alison B. Peck, Robert L. Seaman i Chris R. Benn. SPIE, 2016. http://dx.doi.org/10.1117/12.2232655.
Pełny tekst źródłaYoshimura, Masataka, Tsutomu Nishimura i Kazuhiro Izui. "Acquisition of Product Design Guidelines Considering User Kansei Data Pertaining to Product Environments". W ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85160.
Pełny tekst źródłaStorch, Tobias, Martin Bachmann, Hans-Peter Honold, Hermann Kaufmann, Harald Krawczyk, Rupert Muller, Bernhard Sang, Mathias Schneider, Karl Segl i Christian Chlebek. "ENMAP data product standards". W IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6947002.
Pełny tekst źródłaFu, Xin, i Hernán Asorey. "Data-Driven Product Innovation". W KDD '15: The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2783258.2789994.
Pełny tekst źródłaGrote, Karl-H., i Soeren Schumann. "Intelligent Product Data Exchange". W ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/eim-9010.
Pełny tekst źródłaRaporty organizacyjne na temat "Data Product"
Smith, Bradford M. Product data exchange:. Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.89-4165.
Pełny tekst źródłaAltemueller, Jeffrey, Kelly Chi, Gary Baldridge, Lori Davis i Phillip Dorr. Product Definition Data Interface (PDDI) Product Specification. Fort Belvoir, VA: Defense Technical Information Center, lipiec 1991. http://dx.doi.org/10.21236/ada239256.
Pełny tekst źródłaAbeye, Binyam, Edward Barkmeyer i Peter Denno. Product data sheet ontology. Gaithersburg, MD: National Institute of Standards and Technology, grudzień 2014. http://dx.doi.org/10.6028/nist.ir.8035.
Pełny tekst źródłaENSR CONSULTING AND ENGINEERING FLORENCE AL. RAMP Product Data Translation System Printed Wiring Assembly Product Data Definition Document. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1992. http://dx.doi.org/10.21236/ada251560.
Pełny tekst źródłaBrei, Marylouise. Exchange Standards for Electronic Product Data. Fort Belvoir, VA: Defense Technical Information Center, październik 1988. http://dx.doi.org/10.21236/ada205729.
Pełny tekst źródłaSmith, Bradford M. External representation of product definition data. Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.89-4166.
Pełny tekst źródłaCarver, Gary P., i Howard M. Bloom. Concurrent engineering through product data standards. Gaithersburg, MD: National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4573.
Pełny tekst źródłaParks, Curtis. Internet commerce for manufacturing product data. Gaithersburg, MD: National Institute of Standards and Technology, 1999. http://dx.doi.org/10.6028/nist.ir.6320.
Pełny tekst źródłaFlater, David, i KC Morris. Testability of product data management interfaces. Gaithersburg, MD: National Institute of Standards and Technology, 1999. http://dx.doi.org/10.6028/nist.ir.6429.
Pełny tekst źródłaMitchell, Mary, Yuhwei Yang, Steve Ryan i Bryan Martin. Data model development and validation for product data exchange. Gaithersburg, MD: National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.90-4241.
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